Record Weksa speech artifact readiness

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Meta Vens 2026-05-20 23:23:11 +01:00
commit 1ab2ba659e
4 changed files with 15 additions and 10 deletions

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@ -244,12 +244,16 @@ AquaSynth should treat it as the training input contract:
- 64-float projected Ghostlight/Epiphany-shaped character-state vector;
- 64-float AquaSynth-owned learned utterance embedding output.
Training on serious speech fixtures is blocked until Weksa packets use that
fixed contract or a deliberately versioned successor. Toy vectors are allowed
for plumbing tests only. Do not feed IPA strings into the semantic text
embedding channel and pretend that it means speech shape; English semantics and
PanPhon sequence evidence are separate inputs. AquaSynth owns the learned
compression from PanPhon sequence to 256D phonetic realization embedding.
The first Weksa v0.1 training artifact now exists at
`E:\Projects\weksa\examples\speech-training\tiny-panphon-v0.1\batch.json`.
It covers the crawl-stage IPA set `a`, `pa`, `ta`, `ka`, `sa`, and `ma` with
fixed vector widths, zeroed semantic text embeddings, inline PanPhon-style
sequence evidence, deterministic prosody hints, and an Epiphany-compatible
neutral character-state vector. Toy vectors are allowed for plumbing tests only.
Do not feed IPA strings into the semantic text embedding channel and pretend
that it means speech shape; English semantics and PanPhon sequence evidence are
separate inputs. AquaSynth owns the learned compression from PanPhon sequence to
256D phonetic realization embedding.
### 4. Morphology Model